Job Location: Gurgaon/Gurugram, Bangalore/Bengaluru

Job Description

MAIN TASKS AND RESPONSIBILITIES:

• Take part in requirements analysis, tasks estimation.
• Suggest technical and functional improvements to add value to the product.
• Research and evaluate technical options to implement business requirements.
• Deliver highly optimized, documented, clean and maintainable ML models and suggesting technical and functional improvements to add value to the product.

EDUCATION, SKILLS AND EXPERIENCE:

• Total 10-14 years experience
• 6+ years working extensively with modern NLP tools and techniques.
• 8+ years of production experience with Python
• Strong knowledge and practical experience in Natural Language Processing (NLP) area, i.e. TF-IDF, word embedding, Word2vec, Transformers, BERT;
• Experience with Pandas, NumPy, SKLearn, Scikit-learn
• Experience with following neural network architectures: LSTM, GRU and other RNN-based, XLM-RoBERTa
• Strong practical experience with NLP frameworks: fastText, spaCy;
• Expertise with any of the following: PyTorch, Keras, Tensorflow, MXNet
• Good knowledge in machine learning i.e. clustering algorithms, dimensionality reduction (PCA, t-SNE). A good foundation in basic statistics and linear algebra;
• Experience with Pandas, NumPy, SKLearn, Scikit-learn
• Expertise with multiple deep learning models (CNNs, LSTM, ResNet, YOLO, MobileNet, etc.).
• Expertise with any of the following: PyTorch, Keras, Tensorflow, MXNet
• Understanding state-of-the-art CV approaches for problems like object detection/tracking, video analysis, semantic segmentation, pose estimation, optical character recognition
• Strong knowledge in computer vision fundamentals i.e. OpticalFlow, HOG, feature detection algorithms, Hough Transform, Haar Cascades, Homography, Morphology, Denoising/Deblurring, and image processing algorithms.
• Experience with OpenCV
• Neural networks optimization (quantization, fusing, folding)
• At least Upper-Intermediate level of English.

WOULD BE A PLUS:

• Awareness of CRISP-DM process model
• Understanding SOTA approaches for machine learning problems like unsupervised / semi-supervised learning.
• Experience with Docker, Git
• Experience with Clouds services (AWS, Azure, Google Cloud)
• MSBS degree in Computer Science, Mathematics or other engineering subject

Apply Here

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